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surveil- lance, eye tracking, sensemaking. ACM CCS: Human-centered computingVisualizationVisualization application domainsVisual analytics DOI 10.1515/itit-2014-1072 Received July 18, 2014; revised November 3, 2014; accepted Decem- ber 5, 2014 1 Introduction Due to the high complexity of video data in both the spa- tial and temporal domain, the analysis of large amounts of recorded video material is a challenging task. There has been a lot of effort to provide computer vision tech- niques to extract meaningful information, nevertheless, automated computer vision

-dimensional data, clustering, scalar- topology, visual analytics. ACM CCS: Human-centered computingVisualizationVisualization application domainsVisual analytics, Computing methodologies→Machine learning→ Learn- ing paradigms→ Unsupervised learning→ Cluster anal- ysis, Mathematics of computing→ Probability and statis- tics→Probabilistic inference problems→Density estima- tion,Mathematics of computing→Continuousmathemat- ics→ Topology DOI 10.1515/itit-2014-1073 Received July 25, 2014; revised October 30, 2014; accepted Decem- ber 5, 2014 1 Introduction Finding related